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This paper presents a novel two stage feature selection method for gear fault diagnosis based on ReliefF and genetic algorithm. Prior to the feature selection, 114 parameters were extracted as the original feature set based on EMD, AR model, statistical methods and entropy. Then the ReliefF was employed to evaluate the quality of every individual feature and a sequential feature sets were obtained...
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